US Patent 10540574 Image compression method and related device

An example image compression method may include acquiring an original image with a first resolution; compressing the original image on the basis of the target model to obtain a compressed image with a second resolution; recognizing the compressed image on the basis of a recognition neural network model to obtain reference tag information; acquiring a loss function according to the target tag information and the reference tag information; if the loss function is convergent to a first threshold value or the present number of training times of the compression neural network is more than or equal to a second threshold value, acquiring a target original image with the first resolution, and determining the target model as a corresponding compression neural network model if training of the compression neural network is completed; compressing the target original image on the basis of the compression neural network model.